Principal Software Engineer - ai Applications W - M - Nb H/F - Ubisoft

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin's Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you're passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!Join the Ubisoft AI Initiatives team as a Principal Software Engineer and define the technical future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex, agentic reasoning, we are engineering the tools that turn raw information into high-velocity decision-making. Working alongside our Lead Architect, you will set the standard for software engineering excellence.If you want to push the boundaries of how humans and AI collaborate to solve complex problems, this is your arena.
We areseekinga highly experienced Principal Software Engineer to join our team in charge of the development of scalable back-end systems that power thesecutting-edgeAI applications.

Responsibilities

As a Principal Software Engineer - AI Applications, you will be a technical leader defining how we design and build the core services that enable our solutions.You'lllead at the intersection of AI, enterprise cloud-based applications, large-scale data processing, and software architecture, with significant organizational impact and influence. This is why this role requires mastery of modern architectures, deepexpertisein AI/ML integration, proven technical leadership, as well as a passion for solving complex problems and elevating engineering excellence.

- Define Software Architecture Standards:Establisharchitectural patterns and engineering best practices for scalable, high-performance back-end services supporting AI applications.
- Lead Performance Excellence: Drive initiatives for low-latency, high-throughput serving of AI models,agentsand APIs,optimizingspeed and reliability.
- Drive Cross-Organizational Collaboration: Lead partnerships with data scientists and ML engineers to define integration patterns for AI models and agents in production.
- Shape Application Architecture: Define software patterns and integration strategies for cloud-native AI applications, focusing on scalability and developer productivity.
- Technical Leadership and Mentorship: Mentor senior engineers, conduct architectural reviews, and shape technical strategy and engineering culture.
- Pioneer Innovation: Evaluate emerging AI technologies, lead proof-of-concept initiatives, and represent technical excellence internally and externally.

Joining our team as a Principal Software Engineer in AI Applicationsoffers a unique chance to work on industry-leading projects that shape the future of AI technology. You will have the opportunity to:

- Define AI Software Engineering Standards:Establishpatterns and practices that will influence how AI applications are built across the gaming industry.
- Pioneer AI Application Patterns: Lead the development of novel approaches to building intelligent applications, from agentic systems to multimodal experiences.
- Shape Product Innovation: Directly influence how AI capabilities are delivered to Ubisoft's studios andimpactthe creative process for millions of players globally.

Relevant experience, skills and knowledge

We are seeking a distinguished technical leader with deepexpertiseand a proventrack recordof architecting world-class AI applications at scale.

Must-Have Qualifications:

- Experience: professional software engineering experience, with experience as a principal or staff engineer role. Proventrack recordarchitecting production AI/ML applications in compute or data-intensive environments.
- Programming Mastery: Expert-levelproficiencyin Python, Java, Rust, or C++. Deep understanding of software design patterns and clean architecture.
- Cloud and Platform Experience: Extensive experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) from an application development perspective.
- AI/ML Production Expertise: Proven experience architecting and scaling ML/AI systems in production, including model serving, inference optimization, and full application lifecycle.
- Software Architecture Excellence: Deepexpertisein system architecture,microservicespatterns, API design, and distributed systems withabilityto make organization-wide architectural decisions.
- Technical Leadership: Proven ability to influence without authority, mentor senior engineers, drive technical consensus, and shape engineering culture.

Nice-to-Have Qualifications:

- Deepexpertisein Large Language Models, RAG systems at scale (retrieval strategies, vector databases, hybrid search), and emerging AI paradigms.
- Extensive experience designing agentic AI systems and multi-agent orchestration using frameworkslikeLangGraph, Strands Agents, orCrewAI.
- Significant contributions to open-source AI/ML projects, publications, or technical conference speaking engagements.
- Experience with serverless architectures, event-driven systems, and real-time ML inference optimization.